I am performing time-to-recovery analysis comparing 2 groups. In both groups, a few subjects died from the disease under consideration (instead of recovering). Is it appropriate to consider the deaths ...

I am conducting a data analysis on an Epidemiology cross-sectional study.
Suppose the outcome variable is an binary variable for health status (1=health, 0= unhealth). And the exposue is infection at ...

This is from Robert Hogg's Introduction to Mathematical Statistics 6th, exercise 6.6.5. p366, It says,
Suppose $X_1$, $X_2$, $X_{n1}$, are a random sample from a $N(\theta,1)$ distribution. Suppose ...

We have data points from a prospective study in which participants were assessed 3 times during follow-up for an exposure of interest, and during a 4th follow-up they were assessed for an outcome of ...

I need help with the power calculations to determine the sample size of a randomized clinical trial. This is a relatively simple trial with two arms: an intervention arm and a control arm. Patients in ...

A medical test is administered with a very low threshold level with the rationale that the condition being tested carries a high mortality rate, and a timely diagnosis is critical.
However acute and ...

I'm taking over a project where I will need to create baseline measures for public health outcomes (reported annually), for example hospitalisation rates for different demographic groups.
The person ...

I have always learned that when doing multivariable regression, one should not adjust for mediating variables between the independent and dependent variables of interest. I have seen in the academic ...

In epidemiology, exponentiated coefficients are often reported as odds ratios, relative risks/ incidence rate ratios or hazard ratios. In the analysis of cross-sectional data using Poisson/negative ...

I'm working on disease prevalence, something I've never done before, and I'm trying to weight a gam with population. It seems to me that the prevalence rate for China ought to count a bit more than ...

In comparing two diseases with different basic reproduction numbers (R0), is it possible to use the R0 values to calculate the probability of an epidemic spread through a population?
For example, if ...

I would like to run a semi-symmetric bi-directional case-crossover method on some generated data using conditional logistic regression.
I generated data from Poisson distribution Poiss(lambda) with
...

In a particular example from the book Epidemiologic Research by Kleinbaum [example 15.1], I have three problems.
Consider the data in table 01. These data pertain to a follow-up study concerning the ...

I'm comparing various conditions versus some disease for a large stratified/clustered dataset which purports to account for the entire population after weighting -- hence the use of RR instead of OR. ...

Coming from a social science and epidemiology background, my coworkers were trained on least squares regression, logistic regression, and survival analysis. They like to see 95% confidence intervals ...